Google Integrates Gemini Natively with Windows, Launches AI-Optimised 'Googlebook' Hardware
Google expands AI accessibility with native Gemini for Windows and unveils the 'Googlebook', a new device featuring a custom Tensor 3 AI chip for on-device operations.
Google has significantly expanded its AI accessibility and hardware offerings. The Gemini application is now natively available for Microsoft Windows operating systems. This integration allows Gemini to operate as a local, always-on AI assistant for Windows users. It offers capabilities such as summarising documents, generating code snippets, and managing schedules directly on the desktop. The Windows application is accessible to all Gemini Advanced subscribers, providing enhanced local processing. Users can also access a free, cloud-based version of Gemini for basic functionalities.
Alongside this software expansion, Google introduced new hardware. The 'Googlebook' is a novel computing device, now open for pre-order. This device features a custom Tensor 3 AI chip, optimised for on-device AI operations. The Tensor 3 chip enables high-performance inference for large language models, including multimodal capabilities. It supports efficient processing of complex AI tasks without constant cloud reliance. The 'Googlebook' incorporates an integrated 5G modem, facilitating seamless connectivity for cloud-augmented AI functions. Its design targets professionals requiring robust, portable AI computing.
Further AI developments include an expanded context window for the Gemini 1.5 Pro model. This update increases the context window to 2 million tokens. The larger context window facilitates analysis of extensive datasets, such as entire codebases or lengthy legal documents. Gemini 1.5 Pro also received enhanced multimodal understanding. This improvement allows the model to process and reason across various data types more effectively. These advancements signal Google's push for deeper integration of AI across both software and dedicated hardware platforms.
Will this integrated approach reshape enterprise adoption of AI tools?
More from The Singularity Times
- Chinese AI Labs Anchor Recursive Self-Improvement to Industrial Policy23 Oct 2026 · 16:31 UTC
- Jack Clark Warns IMF That Technological Singularity Is Underway23 Oct 2026 · 16:31 UTC
- AI Infrastructure Buildout Clashes With Grid Interconnection Delays23 Oct 2026 · 16:31 UTC
- Token Throughput Disparity Emerges as Core Metric in US-China AI Rivalry23 Oct 2026 · 16:31 UTC
- Honolulu Civil Beat Restricts Generative AI to Back-Office Data Tasks23 Oct 2026 · 16:31 UTC